副教授 硕士生导师
招生学科专业:
管理科学与工程 -- 【招收硕士研究生】 -- 经济与管理学院
工商管理 -- 【招收非全日制硕士研究生】 -- MBA中心
工程管理 -- 【招收非全日制硕士研究生】 -- MBA中心
工业工程与管理 -- 【招收硕士研究生】 -- 经济与管理学院
物流工程与管理 -- 【招收硕士研究生】 -- 经济与管理学院
其他任职:Energy Systems 期刊副主编
性别:男
毕业院校:中佛罗里达大学
学历:中佛罗里达大学
学位:博士
所在单位:经济与管理学院
办公地点:经济与管理学院0806室
联系方式:zhouchun.huang@nuaa.edu.cn zhouchun.huang@gmail.com
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DOI码:10.1007/s10589-024-00624-1
发表刊物:Computational Optimization and Applications
摘要:In this article, we study the generation and transmission maintenance scheduling problem under uncertainty. We propose a two-stage optimization model with the first stage for weekly maintenance scheduling and the second stage for hourly economic power dispatch. To address the future uncertainties associated with renewable energy penetration and electricity demand, we formulate the problem as a two-stage stochastic mixed-integer programming model and incorporate Conditional Value at Risk (CVaR) to control the risk of having extreme loss of demand. To facilitate practical implementation, we apply the Benders decomposition algorithm tailored for parallel computing as the solution approach for the problem. The maintenance decisions, computational performance, and optimality of the model are evaluated by case studies on IEEE test instances. An extensive sensitivity analysis of CVaR related parameters is performed to illustrate their impact on decisions and risk management. The results show that the proposed risk-constrained model can provide effective annual maintenance plans for both generators and transmission lines on a weekly basis, and the Benders decomposition algorithm is able to solve large-scale problem instances efficiently.
论文类型:期刊论文
是否译文:否
发表时间:2024-11-04
合写作者:Qipeng Zheng,Xiaodong Luo
通讯作者:Zhouchun Huang